Hello Learners, In this Post, you will find NPTEL Data Mining Assignment 8 Week 8 Answers 2023. All the Answers are provided below to help the students as a reference don’t straight away look for the solutions.NPTEL Data Mining Assignment 8 Answers Join Group👇 CLICK HERENote: First try to solve the questions by yourself. If you find any difficulty, then look for the solutions.COURSE NAMEANSWERNPTEL Data Mining Assignment 1 AnswersClick HereNPTEL Data Mining Assignment 2 AnswersClick HereNPTEL Data Mining Assignment 3 AnswersClick HereNPTEL Data Mining Assignment 4 AnswersClick HereNPTEL Data Mining Assignment 5 AnswersClick HereNPTEL Data Mining Assignment 6 AnswersClick HereNPTEL Data Mining Assignment 7 AnswersClick HereNPTEL Data Mining Assignment 8 AnswersClick HereNPTEL Data Mining Assignment 8 Answers 2023NPTEL Data Mining Assignment 8 Answers 2023:We are updating answers soon Join Group for update: CLICK HEREQ.1. Target variable in Regression is _________a. Continuous variableb. Discrete variablec. Character variabled. All of the aboveQ.2. Regression is used in:a. predictive data miningb. exploratory data miningc. descriptive data miningd. explanative data miningQ.3. Regression finds out the model parameters which produces the least square error between –a. input value and output valueb. input value and target valuec. output value and target valued. model parameters and output valueNPTEL Data Mining Assignment 8 Answers Join Group👇 Q.4. Consider x1, x2 to be the independent variables and y to be the dependent variable, which of the following represents a linear regression model?a. y = a0 + a1/x1 + a2/x2b. y = a0 + a1x1 + a2x2c. y = a0 + a1x1 + a2x22d. y = a0 + a1x12 + a2x2Q.5. The linear regression model y = a0 + a1x is applied to the data in the table shown below. What is the value of the sum squared error function S(a0, a1), when a0 = 1, a1=2 ?a. 0.00b. 0.25c. 0.50d. 0.51Q.6. The linear regression model y = a0 + a1x is to be fitted to the data in the table shown below. What is the optimal regression model obtained by minimizing sum squared error?a. y = 1.01 –2.10xb. y = 1.01 +2.10xc. y = 1.01 – 0.98xd. y = 1.01 + 0.98xNPTEL Data Mining Week 8 Answers Join Group👇 CLICK HEREQ.7. In the figures below the training instances are described by dots. The blue dotted lines indicate the actual functions and the red lines indicate the regression model. Which of the following statement is correct?a. Figure 1 represents overfitting and Figure 2 represents underfittingb. Figure 1 represents underrfitting and Figure 2 represents overfittingc. Both Figure 1 and Figure 2 represents underfittingd. Both Figure 1 and Figure 2 represents overfittingQ.8. Find the eigenvalues of the following matrixa. 1,3b. 2,3c. 1,2,3d. Eigenvalues cannot be found.Q.9. A time series prediction problem is often solved using?a. Multivariate regressionb. Autoregressionc. Logistic regressiond. Sinusoidal regressionQ.10. In principal component analysis, the projected lower dimensional space corresponds to –a. subset of the original co-ordinate axisb. eigenvectors of the data covariance matrixc. eigenvectors of the data distance matrixd. orthogonal vectors to the original co-ordinate axisNPTEL Data Mining Assignment 8 Answers Join Group👇 Disclaimer: This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by Brokenprogrammers. This tutorial is only for Discussion and Learning purpose.About NPTEL Data Mining Course:Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.Course Layout:Week 1: Introduction, Data Preprocessing Week 2: Association Rule Mining, Classification BasicsWeek 3: Decision Tree, Bayes Classifier, K nearest neighbor Week 4:Support Vector Machine, Kernel Machine Week 5: Clustering, Outlier detection Week 6: Sequence mining Week 7: Evaluation, Visualization. Week 8: Case studies CRITERIA TO GET A CERTIFICATE:Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.Exam score = 75% of the proctored certification exam score out of 100Final score = Average assignment score + Exam scoreYOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.If you have not registered for exam kindly register Through https://examform.nptel.ac.in/ Post navigationNPTEL Introduction to Machine Learning Assignment 8 Answers 2023 NPTEL Introduction To Industry 4.0 And Industrial Internet Of Things Assignment 8 Answers 2023